These approaches are motivated by the observation that it is always difficult to collect large amounts of task-specific labeled data for learning semantic parsers for new tasks.
However, after large-scale pre-trained language models are applied for semantic parsing, as described in Section REF , high-quality semantic parsers can be effectively developed for new tasks with few task labels or using synthesized data [1]}.
It is interesting to see whether the pre-trained language models can also be successfully applied to the C-KBQA approaches without semantic parsing.
